Validated Python toolkit for quantum chaos in SYK and Hubbard models: symmetry-resolved level statistics vs random-matrix theory, spectral form factor, OTOCs, Krylov complexity, ETH, Floquet heating, sparse SYK up to N=34, noisy Trotter circuits with ZNE, and quantum-kernel concentration. Tested, reproducible, with honest limitations.
python3 quantum-computing hubbard-model exact-diagonalization quantum-machine-learning random-matrix-theory many-body-physics floquet pennylane quantum-chaos otoc syk-model spectral-form-factor
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Updated
Oct 16, 2026 - Python